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A survey asked business travelers if they worked harder on a business trip. Fifty percent of the respondents were younger than 45 years and 50% where 45 years or older. Sixty-four percent of the younger respondents indicated they did work harder on business trips while 30% of the older respondents indicated they worked harder on business trips. Given that the respondent indicated he/she worked harder on business trips, use Bayes' Theorem to determine the probability that the person is younger than 45 years old.
Set a value for the level of significance to be used in the test? After answering this question, what type of error would you suppose may result in that case?
The progress report of a research analyst to the supervisor stated: "All the estimated regression coefficients in our model with three predictor variables to predict sales are statistically significant.
If the value of the standard normal random variable Z is positive, then the original score is where in relationship to the mean?
question 1 the amount of jen s monthly phone bill is normally distributed with a mean of 50 and a standard deviation
It is not unusual for a battery to have life span that is more than 2470 hours as the z-score is within 2 standard deviations of mean.
In 1978, the CPI for Canada was 43.6, but in 1988, the CPI was 84.8. What was the geometric mean annual increase for the period?
seven popular brands of tea are to be used in a blind taste study for consumer recognition. if four distinct brands are
Estimate the probability the store will gross over $850 a) At least 3 out of 5 business days.
What are the mean and the standard deviations for the population of produced with this process?
If you test the null hypothesis at the 0.01 level of significance, is there evidence that the new process has reduced turnaround time? Interpret the meaning of the p-value in this problem.
if tow televisions are randomly selected, compute the probability that both televisions work. what is the probability that at least one does not work?
A large population of metal rods have an average diameter of .943 inches with a standard deviation of .001 inches. The engineering specification for the rods requires that they be between .941 and .944 inches.
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